Show simple item record

dc.contributor.authorGajanayake, CLTH
dc.contributor.authorPemarathne, WPJ
dc.date.accessioned2020-12-31T22:33:01Z
dc.date.available2020-12-31T22:33:01Z
dc.date.issued2020
dc.identifier.urihttp://ir.kdu.ac.lk/handle/345/3010
dc.descriptionArticle Full Texten_US
dc.description.abstractScheduling timetables are one of the complex and time-consuming process when constructing using manual methods. These manual methods don’t always promise the optimum schedule plan and leads to countless conflicts. Recently, there are many states of the art systems proposed for the task scheduling using Artificial Intelligence (AI). This paper reviews the recently propose timetable scheduling systems with AI. The result of the analysis shown that the evolutionary techniques has been used in many studies to generate optimize timetable schedule specially using the Genetic Algorithm. Most of the studies proved that the Genetic Algorithm optimizes most of the constraint and fitted to automate timetable scheduling.en_US
dc.language.isoenen_US
dc.subjectSchedulingen_US
dc.subjectTimetable Automationen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectGenetic Algorithmen_US
dc.titleAutomate Timetable Scheduling with AI: A Reviewen_US
dc.typeArticle Full Texten_US
dc.identifier.journalKDU-IRC-2020en_US
dc.identifier.pgnos523-528en_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record